9781461419082 - Creating New Medical Ontologies for Image Annotation: A Case Study di Stanescu, Liana (12 risultati)

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Condizione: New. Focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. In this title, all the steps of this process are described in detail with algorithms, experiments and results. It also compares the original algorithms proposed by authors with other efficient similar algorithms. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 119 pages, 17 black & white illustrations, 10 colour illustrations, 12 black & white tables, biograp. BIC Classification: MMP; TTBM; UYT. Category: (P) Professional & Vocational. Dimension: 238 x 171 x 8. Weight in Grams: 200. . 2011. 2012. Paperback. . . . .

Paperback. Condizione: Brand New. 1st edition. 111 pages. 9.00x6.00x0.50 inches. In Stock.

Condizione: New. Focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. In this title, all the steps of this process are described in detail with algorithms, experiments and results. It also compares the original algorithms proposed by authors with other efficient similar algorithms. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 119 pages, 17 black & white illustrations, 10 colour illustrations, 12 black & white tables, biograp. BIC Classification: MMP; TTBM; UYT. Category: (P) Professional & Vocational. Dimension: 238 x 171 x 8. Weight in Grams: 200. . 2011. 2012. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condizione: Neu. Neuware -Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms.In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms. In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords.

Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms. In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Creating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms. In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords. 120 pp. Englisch.

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a new algorithm for color images segmentation, based on a hexagonal grid, with very good resultsCovers a high number of experiments effectuated on a database with thousands of color medical images from digestive tract that are rarely us.

Taschenbuch. Condizione: Neu. Creating New Medical Ontologies for Image Annotation | A Case Study | Liana Stanescu (u. a.) | Taschenbuch | viii | Englisch | 2011 | Springer US | EAN 9781461419082 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.